3973 Other courses

The work of a technical team is invariably challenging and often unpredictable. Definition of the work can be problematic, timescales can be hard to estimate and the right technical approach difficult to select. Staff involved in this type of work usually have very high levels of specialist knowledge in their field and have high expectations of those who lead them. In addition to the challenges of the work, the team leader often has to balance the need for professional excellence with financial and commercial considerations and to ensure that team goals are realistic by being an effective negotiator with other project and senior managers. These characteristics make technical team leadership a demanding and complex activity. This programme aims to help participants develop the skills needed to become an effective technical team leader. The objectives of this programme are to help participants: understand the significance of leadership skills and their impact on team performance review the key skills needed to be an effective, 'multi-dimensional' team leader and learn how to develop, adapt and apply them in practice learn how to identify the preferred leadership style for the context and organisational culture and how to develop personal style versatility understand the role of the project leader in building an effective team and the skills required to promote and sustain team performance gain a better understanding of the interpersonal skills needed to motivate individual team members and harness the full potential of the team DAY ONE 1 Technical teams and leadership What is a leader? How much can leadership be learned? The team environment and the impact of leadership skills The characteristics of high performance teams and their leaders Some useful models and theories of leadership explored Types of leadership; choosing how to use leadership power Evaluating personal leadership style; how to develop style flexibility 2 Essential skills for team leaders 3 key dimensions of effective leadership: inwards, outwards and upwards Developing and promoting a 'team vision': strategic thinking skills The vital role of communication skills and how to develop them Understanding others; emotional intelligence skills Being a visible leader; behavioural and influencing skills Building effective relationships; the importance of trust and respect DAY TWO 3 Leading inwards to build the team The role of leadership in developing team performance Understanding individuals in the team; recognising team role preferences Managing conflict and promoting positive team dynamics Setting standards, maintaining discipline and rewarding performance Harnessing team potential: building motivation within the team Promoting team learning; the team leader as coach / mentor 4 Leading outwards and upwards to support the team Negotiating realistic team goals; effective influencing skills Gaining empowerment and support from the key stakeholders Leading upwards: knowing when and how to take the initiative Building team credibility within the organisation; helping the team deliver Becoming an effective team player in leadership teams Building and maintaining rapport with influential stakeholders

Book sculpture paper folding class at The Arienas Collective in Edinburgh City Centre with local artist Panna Chauhan

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In today's fast-moving competitive environment, sales are often made or lost on the strength of a telephone conversation or a brief email. This means that not only is customer service everyone's responsibility - so is sales. Customer service staff are failing the customer if they don't think about sales. And sales staff are failing customers if they don't think about service. And anyone failing a customer is failing both themselves and their employer. Too often, customer service staff feel neither capable nor empowered to recognise or capitalise upon a sales opportunity. Too often, sales people pursue the short-term opportunity at the expense of the bigger picture. The good news is - it doesn't have to be this way! Sales and customer service skills can be acquired, developed and polished just like any other skill. This tried-and-tested programme shows you how to do it. As a result of this course, participants will be able to: Take control of a customer conversation, with confidence Refresh and polish their customer service and sales performance Recognise and develop a sales opportunity Engage the customer and build rapport Identify a customer's needs Match the customer's needs to the organisation's products or services Handle objections confidently Ask for the order At the end of the workshop each participant will have developed their own action plan for developing and using their skills in the workplace. 1 Introduction Course overview, objectives and introductions 2 Serving or selling? Feelings and attitudes - How we can affect the outcome by our feelings and behaviour What is selling? - Selling is helping people to buy, identifying the opportunities that exist within the conversation to develop the customer's interest in our products or services 3 Developing the right skills Communication- The impact of body language, voice tone and words- How to make the best impression on the customer and create a 'buying environment' Rapport-building- What makes a good working relationship?- What do customers look for when they call us?- How can we match their expectations in terms of our own interpersonal skills? Relating to different types of people by identifying and matching their communication style on the telephone 4 Making it easy for the customer Starting it right- Opening the conversation positively- Building rapport- How to develop interest in our products or services Gaining and clarifying information- Questioning skills and questioning style- What do we need to know from the customer?- How can we use that information in the conversation? Active listening- The most under-rated skill of all- Picking up on the 'Golden Moments' when a customer shows they may be interested Presenting information confidently- Knowing the benefits of our products or services- How to tell the customer what they need to know in order to enable them to buy Closing on a positive note- When and how to ask for commitment Dealing with the customer's objections and concerns in a positive manner 5 Course summary and action plans Review of main learning points Presentation of personal action plans

It is essential that those charged with responsibility for credit control and debt recovery have a full appreciation of the relevant law: no-one can negotiate effectively to recover a debt if they don't understand the ultimate sanctions they can apply. This programme is designed to give them a practical, up-to-date understanding of the law as it applies to your particular organisation. This course will help ensure that participants: Understand the relevant laws Know how and when to invoke legal processes Avoid legal pitfalls in debt collection negotiations Specific, practical learning points include: Definition of 'harassment' How to set up an in-house collection identity Whether cheques in 'full and final settlement' are binding The best steps to trace a 'gone away'... and many, many more. 1 Data protection and debt recovery There are a whole range of things which can be checked on members of the public and which are not affected by the restraints of the Data Protection Act. These will be explained in simple, clear terms so that staff can use this information immediately. 2 County Court suing The expert trainer will show how to sue for money owed, obtain judgment and commence enforcement action without leaving your desk. This module is aimed at showing how to make the Courts work for you instead of the other way around! 3 Enforcement of judgments There are many people who have a County Court Judgment (CCJ) against their debtor but who still remain unpaid. This session explains each of the enforcement methods and how to use them to best effect. Enforcement methods covered include: Warrant of Execution Using the sheriff (now known as High Court Enforcement Officers) Attachment of earnings Third Party Debt Orders Charging Orders (over property and goods) Winding-up companies and making individuals bankrupt 4 Office of Fair Trading rules on debt recovery Surprisingly few people are aware of the Office of Fair Trading rules on debt recovery and many of those that do know think they don't apply to them - but they do. Make sure you know what you need to! 5 New methods to trace elusive, absentee and 'gone away' debtors Why write the money off when you can trace the debtor and collect the money you are owed? 6 Credit checking of new and existing customers It makes sense to credit check would-be, new and existing customers to evaluate the likelihood of payment delays or perhaps not being paid at all. This session shows a range of credit checking steps, many of which can be done completely free of charge, including a sample credit application/ account opening form. 7 Late Payment of Commercial Debts Regulations Do your staff understand this legislation and how to use it to make people pay quicker than ever before? The trainer shows how. 8 The Enterprise Act The Enterprise Act made some startling changes to corporate and personal insolvency. What are the implications for credit control and debt recovery within your organisation?

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There is so much more to this free tool than just creating PDFs. Learn what else you can do for free. Duration: 2 hours This Adobe Acrobat Reader course looks at the features of the Acrobat Reader tool. Learn how to create PDF and what options you have, complete and sign and mark up PDFs. Objectives  By the end of the course you will be able to: Create PDFs from other tools Complete and sign documents Mark up PDF documents Content Creating PDFs Building PDF documents from Word, Excel and PowerPoint Working in Acrobat Home, Tools and Document Views Using the Navigation Panel and Pane Floating toolbar and Contextual menus Completing and signing documents Using fill and sign to complete forms Adding signatures Marking up documents Marking up changes Using sticky notes Using the highlighter pen Adding stamps Attaching documents and audio

AAT Level 2 is the first level of qualification for people with limited or no accounts knowledge. This Foundation Certificate in accounting training equips you for an entry-level role in an Accounting or Finance department. Moreover, this AAT course also lays the groundwork for a promising future in the accounting profession. By the end of the course, you will have a greater understanding and skills of manual and computerised accounts and how to use them in a 'real business world' setting. Why AAT? Want a new direction for your career? Think Accountancy, according to statistics, the average salary for Accountants is £50,000; it is the sector where the employ-ability rate is greater than any other sector. What are the benefits after completing AAT courses? A newly qualified AAT member can expect to earn an average of £21,600. Some accounting technicians work as accounts assistant; others go on to become managing directors or finance directors of well-known companies. Some go to work as a self employed accountant as AAT allows the student to become chartered. Osborne Training is an AAT Approved Training Provider in London. In taking the Association of Accounting Technicians qualification with Osborne Training, you will make one of the greatest decisions of your career. Duration You can expect this qualification to take 1-1.5 year to complete for most students. Tutors Tutors are highly qualified with extensive knowledge of accountancy. Study Options Classroom Based - evening, Weekend and Daytime sessions for AAT course from London Campus. Osborne Training continuously opening new campuses throughout the UK. Online Live - Interactive online sessions through world-class Virtual Learning Campus with study materials are delivered to your home address. Distance Learning- Self-Study with Study Material and access to Online study Material through Virtual Learning Campus. Once you finish the AAT qualification and pass all exams successfully, you will receive a globally recognised AAT Level 2 Foundation Certificate in Accounting from AAT. AAT Level 2 Course syllabus Bookkeeping transactions Bookkeeping Controls Elements of Cost Work effectively in finance Using Accounting Software (i.e SAGE)

Machine literacy in data wisdom is a fleetly expanding discipline and now is the crucial element. This groundbreaking field equips computers and systems with the capacity to learn from data and ameliorate their performance over time without unequivocal programming. Statistical ways are employed to train algorithms to produce groups or prognostications and to find significant findings in data mining systems. immaculately, the conclusions made from these perceptivity impact crucial growth pointers in operations and companies. What's Machine Learning? . Machine learning classes in pune The machine literacy term was chased by Arthur Samuel in 1959. It's the discipline solely concentrated on studying and erecting tools and ways that can let machines learn. These styles use data to enhance the computer performance of a particular set of tasks. Machine literacy algorithms induce prognostications or possibilities and produce a model grounded on data samples, also called training data. There's a need for machine literacy as these algorithms are applied in a broad range of operations, for illustration, computer vision, dispatch filtering, speech recognition, husbandry, and drugs, where it's a challenge to produce traditional algorithms that can negotiate the needed tasks. orders in Machine Learning Being such a vast and complicated field, machine literacy is divided into three different orders machine literacy orders Supervised literacy – In this system, the algorithm is trained using data that has been labeled and in which the target variable or asked result is known. Once trained, the algorithm may make prognostications grounded on unidentified information by learning how to associate input variables with the willed affair. Unsupervised literacy – In this case, the algorithm is trained on unlabeled data, and its thing is to discover structures or patterns within the data without having a specific target variable in mind. Common unsupervised literacy tasks include dimensionality reduction and clustering. underpinning literacy – An algorithm is trained via relations with the terrain in this type of literacy. The algorithm learns how to operate in order to maximize a price signal or negotiate a particular ideal. Through prices or penalties, it receives feedback that helps it upgrade its decision-making process. Artificial Intelligence and Machine Learning Artificial intelligence( AI) is divided into several subfields, and machine literacy( ML) is one of them. In order to produce intelligent machines that can pretend mortal intelligence, a variety of methodologies, approaches, and technologies are used. This notion is known as artificial intelligence( AI). The development of ways and models that allow computers to acquire knowledge from data and make recommendations or judgments without unequivocal programming is the focus of machine literacy( ML). Some academics were interested in the idea of having machines learn from data in the early stages of AI as an academic field. They tried to approach the issue using colorful emblematic ways and neural networks. They were primarily perceptrons, along with other models that were ultimately discovered to be reimaginings of the generalized direct models of statistics. For this case, you aim to make a system secerning cows and tykes. With the AI approach, you'll use ways to make a system that can understand the images with the help of specific features and rules you define. Machine literacy models will bear training using a particular dataset of pre-defined images. You need to give numerous farmlands of cows and tykes with corresponding markers. Why is Machine Learning Important? Machine literacy is an abecedarian subfield of artificial intelligence that focuses on assaying and interpreting patterns and structures in data. It enables logic, literacy, and decision-making outside of mortal commerce. The significance of machine literacy is expanding due to the extensively more expansive and more varied data sets, the availability and affordability of computational power, and the availability of high-speed internet. It facilitates the creation of new products and provides companies with a picture of trends in consumer geste and commercial functional patterns. Machine literacy is a high element of the business operations of numerous top enterprises, like Facebook, Google, and Uber. Prophetic Analytics Machine learning course in pune Machine literacy makes prophetic analytics possible by using data to read unborn results. It's salutary in the fields of finance, healthcare, marketing, and logistics. Associations may prognosticate customer growth, spot possible troubles, streamline operations, and take visionary action to ameliorate results using prophetic models. Personalization and recommendation systems Machine literacy makes recommendation systems and substantiated gests possible, impacting every aspect of our diurnal lives. Platforms like Netflix, Amazon, and Spotify use machine literacy algorithms to comprehend stoner preferences and offer substantiated recommendations. Personalization boosts stoner pleasure and engagement while promoting business expansion. Image and speech recognition Algorithms for machine literacy are particularly good at jobs like speech and picture recognition. Deep literacy, a branch of ML, has converted computer vision and natural language processing. It makes it possible for machines to comprehend, dissect, and produce visual and audio input. This technology is helpful for driverless vehicles, surveillance, medical imaging, and availability tools, among other effects. Machine learning training in pune

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